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Smart, Innovative Teaching Supported by Decision Software – Case Study in Educational Institution

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Emerging Technologies for Education (SETE 2016)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10108))

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Abstract

This article aims to describe the use of software Expert Choice and Criterium DecisionPlus in order to support the multi-criteria decision in education and to evaluate the added value of this innovation. Both decision-making software, solves the same problem of the case study. Firstly, the decision-making problem is de-fined, as well as the relevant criteria and possible alternative solutions. Based on the decision-making process and the output decisions are both software evaluated in terms of selected criteria. Students in the role of customers verify the quality of the two software tools and from which they elect a better alternative. Further-more, according to marketing metrics of Customer Perceived Value (CPV) is determined a value perceived by customers/students as the difference between the evaluation of the benefits, supply costs and perceived alternatives.

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Acknowledgement

The paper was written with the support of the specific project grant “Determinants affecting job satisfaction” granted by the University of Hradec Králové, Czech Republic.

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Correspondence to Hana Mohelska .

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Mohelska, H., Sokolova, M., Zubr, V. (2017). Smart, Innovative Teaching Supported by Decision Software – Case Study in Educational Institution. In: Wu, TT., Gennari, R., Huang, YM., Xie, H., Cao, Y. (eds) Emerging Technologies for Education. SETE 2016. Lecture Notes in Computer Science(), vol 10108. Springer, Cham. https://doi.org/10.1007/978-3-319-52836-6_17

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  • DOI: https://doi.org/10.1007/978-3-319-52836-6_17

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-52835-9

  • Online ISBN: 978-3-319-52836-6

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